Forward Deployed Engineer - Model Engineering - Manager - Consulting - OPEN Location
Ernst and Young4 days ago
Base Salary
$126k - $262k/yr
Responsibilities
- Lead client-embedded AI workstreams from opportunity identification and process diagnosis through solution design, production deployment, value measurement, and optimization.
- Redesign client processes for human-AI collaboration using research, rapid prototyping, and analysis.
- Manage lean multidisciplinary teams while remaining involved in architecture, technical development, quality, responsible deployment, economics, and results.
- Lead client discovery, working sessions, product delivery, solution demonstrations, proposals, stakeholder relationships, and engagement economics.
- Define architectures and guide development of agentic workflows, orchestration logic, memory, retrieval, reusable components, APIs, MCP connectors, and agent-to-agent integrations.
- Establish evaluations, observability, governance, access controls, and risk mitigations for secure and responsible AI and agentic systems.
- Coach teams on AI-assisted development tools and lead technical delivery through production and ongoing optimization.
Requirements
- Bachelor’s degree required.
- 6–10 years of full-time relevant experience in AI, data science, and/or machine learning.
- 2–4 years of direct technical team management experience.
- Strong Python skills and experience delivering production AI/ML solutions on a major cloud platform.
- Experience with foundation models, generative AI, agentic AI frameworks, OpenAI, DALL-E, LangChain, RAG, scikit-learn, and PyTorch.
- Experience with natural language processing, deep learning, MLOps, LLMOps, AgentOps, data ingestion, transformation, evaluation, model retraining, feedback loops, observability, monitoring, and reporting.
- Understanding of data structures, data modeling, software engineering, Responsible AI, mathematics, statistics, operations research, SQL, Pandas, and Spark.
- Experience with Claude, Codex, Cursor, GitHub, Azure DevOps, Jira, and CI/CD pipelines.
- Ability to lead client relationships, translate ambiguous needs into technical decisions, communicate effectively, manage change, and lead diverse hybrid and global teams.
- Preferred qualifications include a master’s degree in computer science, mathematics, physical sciences, or another quantitative field; additional programming languages; generative AI fine-tuning; complex project management; data visualization; and image, speech, or audio processing experience.
- Willingness to travel for client engagements and demonstrated client trust, commercial judgment, negotiation skills, and relationship-building ability.
Benefits
- Medical and dental coverage.
- Pension and 401(k) plans.
- A wide range of paid time off options.
- Professional growth, personal fulfillment, and an inclusive culture.
- Location: anywhere in the country, with willingness to travel for client engagements.
- Applications are accepted on an ongoing basis; applicants are asked to limit themselves to two applications within a six-month period.
Tech Stack
Categories
Forward Deployed
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.